cp-skill-revise-iterative

Iteratively revise markdown notes by applying a series of semantic checks and user-verified iterations. The process uses non-interactive AI calls to produce numbered copies, ensuring content refinement preserves semantic fidelity and structure.

Semantic fidelity checks are built into the note revision process to ensure AI writing assistance does not alter the original meaning. The tool verifies semantic content integrity across multiple revisions before applying any changes.

Maintain high-quality written work by applying iterative editing with user approval steps. This approach generates numbered copies for review, requiring explicit consent before modifying the original note, preventing unintended content degradation.

Iterative editing works by running semantic checks on numbered text copies generated through non-interactive AI calls. It requires user approval before applying changes, guaranteeing the original meaning remains intact throughout the content refinement process.

Explicit user approval is required before any AI revisions modify your original markdown files. The tool generates separate numbered copies for review, ensuring you maintain complete control over the final content cohesion and structure.

Content refinement using non-interactive AI calls operates strictly on markdown files and requires user approval for changes. It focuses on flow, readability, and cohesion, meaning it does not autonomously overwrite original notes without explicit verification.